For example,
https://github.com/bigdatagenomics/adam/pull/2245
<https://github.com/bigdatagenomics/adam/pull/2245>
...
Caused by: java.lang.NoSuchMethodError:
org.apache.parquet.schema.Types$PrimitiveBuilder.as(Lorg/apache/parquet/schema/LogicalTypeAnnotation;)Lorg/apache/parquet/schema/Types$Builder;
at
org.apache.parquet.avro.AvroSchemaConverter.convertField(AvroSchemaConverter.java:161)
at
org.apache.parquet.avro.AvroSchemaConverter.convertUnion(AvroSchemaConverter.java:226)
at
org.apache.parquet.avro.AvroSchemaConverter.convertField(AvroSchemaConverter.java:182)
at
org.apache.parquet.avro.AvroSchemaConverter.convertField(AvroSchemaConverter.java:141)
at
org.apache.parquet.avro.AvroSchemaConverter.convertField(AvroSchemaConverter.java:244)
at
org.apache.parquet.avro.AvroSchemaConverter.convertFields(AvroSchemaConverter.java:135)
at
org.apache.parquet.avro.AvroSchemaConverter.convert(AvroSchemaConverter.java:126)
at
org.apache.parquet.avro.AvroWriteSupport.init(AvroWriteSupport.java:121)
at
org.apache.parquet.hadoop.ParquetOutputFormat.getRecordWriter(ParquetOutputFormat.java:388)
at
org.apache.parquet.hadoop.ParquetOutputFormat.getRecordWriter(ParquetOutputFormat.java:349)
at
org.apache.spark.rdd.InstrumentedOutputFormat.getRecordWriter(InstrumentedOutputFormat.scala:35)
at
org.apache.spark.internal.io.HadoopMapReduceWriteConfigUtil.initWriter(SparkHadoopWriter.scala:350)
at
org.apache.spark.internal.io.SparkHadoopWriter$.org$apache$spark$internal$io$SparkHadoopWriter$$executeTask(SparkHadoopWriter.scala:120)
at
org.apache.spark.internal.io.SparkHadoopWriter$$anonfun$3.apply(SparkHadoopWriter.scala:83)
at
org.apache.spark.internal.io.SparkHadoopWriter$$anonfun$3.apply(SparkHadoopWriter.scala:78)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
at org.apache.spark.scheduler.Task.run(Task.scala:123)
at
org.apache.spark.executor.Executor$TaskRunner$$anonfun$10.apply(Executor.scala:408)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1360)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:414)
at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
> On Jan 23, 2020, at 10:52 AM, Michael Heuer <[email protected]> wrote:
>
> Hello Gabor,
>
> This Spark PR upgrades Parquet but does not upgrade Avro, note the exclusion
> for parquet-avro
>
> https://github.com/apache/spark/pull/26804/files#diff-600376dffeb79835ede4a0b285078036R2104
>
> <https://github.com/apache/spark/pull/26804/files#diff-600376dffeb79835ede4a0b285078036R2104>
>
> Parquet 1.11.0/1.11.1 depends on Avro 1.9.1 and Spark depends on Avro 1.8.2,
> how will this Spark PR be compatible?
>
> michael
>
>
>> On Jan 23, 2020, at 3:38 AM, Gabor Szadovszky <[email protected]
>> <mailto:[email protected]>> wrote:
>>
>> Thanks, Fokko. I've linked the related issues to the release jira as
>> blockers.
>> Currently, every issue is resolved. Waiting for feedback if the
>> fixes/descriptions are correct and if we need to fix anything else for
>> Spark.
>>
>> On Wed, Jan 22, 2020 at 5:18 PM Driesprong, Fokko <[email protected]
>> <mailto:[email protected]>>
>> wrote:
>>
>>> Thank you Gabor,
>>>
>>> What kind of issues are found? Let me know if I can help in any way.
>>>
>>> Cheers, Fokko
>>>
>>> Op wo 22 jan. 2020 om 11:10 schreef Gabor Szadovszky <[email protected]
>>> <mailto:[email protected]>>:
>>>
>>>> Dear All,
>>>>
>>>> During the migration to 1.11.0 in Spark we discovered some issues in the
>>>> parquet release. I am preparing the minor release 1.11.1 to fix these
>>>> issues. Created the jira
>>>> https://issues.apache.org/jira/browse/PARQUET-1774
>>>> <https://issues.apache.org/jira/browse/PARQUET-1774> to
>>>> track this effort. Feel free to link any bug jiras if they are
>>> regressions
>>>> in 1.11.0.
>>>> The release will be prepared in the separate branch "parquet-1.11.x".
>>> I'll
>>>> do the backports as required.
>>>>
>>>> Regards,
>>>> Gabor
>>>>
>>>
>
